Data center power quality assessment method, device and equipment

Abstract

The present invention provides a method, device and equipment for evaluating the power quality of a data center. The method includes: determining multiple indicators related to the power quality evaluation of a data center; determining the weight value of each indicator according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer and the information entropy corresponding to each indicator; determining the evaluation result of the power quality of the data center according to each indicator and the weight value of each indicator. The method of the embodiment of the present application realizes accurate evaluation of the power quality of the data center and effectively improves the safety and reliability of the data center.

Description

Technical Field

[0001] The present invention relates to the technical field of data centers, and in particular to a method, device and equipment for evaluating power quality in a data center. Background Art

[0002] With the continuous development of my country's new power system, photovoltaic, wind power and other new energy sources are connected to the grid on a large scale. At the same time, intelligent control equipment and nonlinear loads are increasing, resulting in more and more complex power quality issues. In order to improve the power supply quality of the entire power grid, achieve economic operation and high-quality and efficient development of the power grid, it is very important to conduct a scientific and reasonable quantitative evaluation of power quality.

[0003] In the relevant technologies, data centers have higher requirements for the "quantity" and "quality" of "electricity". On the one hand, data centers are "power hogs". The high-speed operation and continuous operation of IT equipment consume huge amounts of electricity. On the other hand, the power quality of data centers directly affects the operational reliability of IT equipment. Poor power quality and unstable voltage and current often cause data loss and other problems. Therefore, how to accurately evaluate the power quality of data centers is an urgent problem that technicians in this field need to solve. Summary of the invention

[0004] The present invention provides a data center power quality assessment method, device and equipment, which realize accurate assessment of the power quality of the data center and effectively improve the safety and reliability of the data center.

[0005] The present invention provides a data center power quality assessment method, comprising the following steps.

[0006] Identify multiple indicators related to power quality assessment in data centers; Determine the weight value of each of the indicators according to the importance of each network layer of the power grid corresponding to the data center, the importance of each of the indicators in each network layer, and the information entropy corresponding to each of the indicators; The evaluation result of the power quality of the data center is determined based on the various indicators and the weight values ​​of the various indicators.

[0007] According to a data center power quality assessment method provided by the present invention, the data center power quality assessment method further includes: According to the comparison result of the importance between the network layers of the power grid corresponding to the data center, the importance of each network layer of the power grid corresponding to the data center is determined; The importance of each indicator is determined based on the comparison result of the importance between the indicators.

[0008] According to a data center power quality assessment method provided by the present invention, the weight value of each indicator is determined according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer and the information entropy corresponding to each indicator, including: Determine a first weight value corresponding to each of the indicators according to the importance of each network layer of the power grid corresponding to the data center and the importance of each of the indicators in each network layer; Determine a second weight value corresponding to each of the indicators according to the information entropy corresponding to each of the indicators; The weight value of each indicator is determined according to the first weight value corresponding to each indicator and the second weight value corresponding to each indicator.

[0009] According to a data center power quality assessment method provided by the present invention, the first weight value corresponding to each indicator is determined according to the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer, including: The first weight value corresponding to each of the indicators is determined based on the following method: =

[0010] in, represents the first weight value corresponding to indicator i; B represents the matrix of the importance of each of the indicators; C represents the transpose of the matrix of the importance of each of the indicators; A represents the matrix of the importance of each network layer of the power grid corresponding to the data center.

[0011] According to a data center power quality assessment method provided by the present invention, determining the second weight value corresponding to each of the indicators according to the information entropy corresponding to each of the indicators includes: The second weight value corresponding to each of the indicators is determined based on the following method:

[0012] in, represents the second weight value corresponding to the index i; Represents the information entropy corresponding to index i.

[0013] According to a data center power quality assessment method provided by the present invention, the method further includes: The information entropy corresponding to each of the indicators is determined based on the following method:

[0014] in, represents the information entropy corresponding to index i; m represents the number of samples; Indicates the degree of deviation of indicator i in multiple samples.

[0015] According to a data center power quality assessment method provided by the present invention, the weight value of each indicator is determined according to the first weight value corresponding to each indicator and the second weight value corresponding to each indicator, including: The weight values ​​of each of the indicators are determined based on the following method: = +

[0016] in, Represents the weight value of indicator i; Indicates the first weight value corresponding to indicator i; represents the second weight value corresponding to the index i; Indicates the preset value.

[0017] The present invention also provides a data center power quality assessment device, comprising the following modules: A first determination module is used to determine multiple indicators related to the power quality assessment of the data center; The second determination module is used to determine the weight value of each indicator according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer and the information entropy corresponding to each indicator; The evaluation module is used to determine the evaluation result of the power quality of the data center according to each of the indicators and the weight value of each of the indicators.

[0018] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the data center power quality assessment method as described above is implemented.

[0019] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the data center power quality assessment method as described in any one of the above is implemented.

[0020] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any of the above-mentioned methods for evaluating power quality of a data center.

[0021] The data center power quality assessment method, device and equipment provided by the present invention, on the one hand, in the process of evaluating the power quality of the data center, takes into account that each level of the power supply and distribution system of the data center will affect the power quality of each other. Therefore, in the process of evaluating the power quality of the data center, the weight of each indicator is determined in combination with the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer, so that the evaluation result of the power quality of the data center is more accurate. On the other hand, in the process of determining the weight value of each indicator, the influence of the uncertainty of each indicator on the power quality of the data center is fully considered, so that the final determined weight is more accurate, and the accurate evaluation of the power quality of the data center is realized, and the safety and reliability of the data center are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 It is a flow chart of the data center power quality assessment method provided by the present invention.

[0024] Figure 2 It is a schematic diagram of each network layer of the power grid corresponding to the data center provided by the present invention.

[0025] Figure 3 It is a structural schematic diagram of the data center power quality assessment device provided by the present invention.

[0026] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] Combine the following Figure 1-Figure 4 The invention describes a method, device and apparatus for evaluating power quality in a data center.

[0029] In order to facilitate a clearer understanding of the technical solutions of the embodiments of the present application, some technical contents related to the embodiments of the present application are first introduced.

[0030] With the continuous development of my country's new power system, photovoltaic, wind power and other new energy sources are connected to the grid on a large scale. At the same time, intelligent control equipment and nonlinear loads are increasing, resulting in more and more complex power quality issues. In order to improve the power supply quality of the entire power grid, achieve economic operation and high-quality and efficient development of the power grid, it is very important to conduct a scientific and reasonable quantitative evaluation of power quality.

[0031] Data centers have high requirements for the quantity and quality of "electricity". On the one hand, data centers are "power hogs". The high-speed and continuous operation of IT equipment consumes a huge amount of electricity. On the other hand, the power quality of data centers directly affects the operational reliability of IT equipment. Poor power quality and unstable voltage and current often cause problems such as data loss. Data centers are also the source of power quality problems such as harmonics. Variable frequency drive equipment such as variable frequency air conditioners and refrigeration equipment in data centers are the main sources of harmonics. Therefore, it is particularly important to monitor and comprehensively evaluate the power quality of data centers.

[0032] In the prior art, there is currently no effective method for comprehensive evaluation of power quality. Moreover, each level of the power supply and distribution system of the data center will affect the power quality of each other. Therefore, the power quality of the data center should be considered comprehensively, and the power quality of one aspect cannot be considered alone. The factors affecting the power quality depend not only on the power quality itself, but also on the quality of the power supply and distribution equipment itself. For example, the voltage reduction capacity of the transformer of the same model depends not only on the number of coil windings, but also on the tightness between the coils, which affects the number of magnetic flux lines passing through the coils. In practice, when the high voltage of the same source is reduced by two identical transformers, there will be a deviation of about 10V between their values. For another example, the HVAC system of the data center will generate a large number of harmonics, which will cause harmonic disorder and harmonic compliance in the data center. Peak power consumption will cause undervoltage operation of power equipment, and low power consumption will cause high voltage overlimit in some line segments. Therefore, how to accurately evaluate the power quality of the data center is a problem that technicians in this field need to solve urgently.

[0033] Figure 1 This is one of the flow charts of the data center power quality assessment method provided by the present invention, such as Figure 1 As shown, the method includes the following: Step 101: Determine multiple indicators related to power quality assessment of a data center.

[0034] Specifically, in order to achieve accurate and comprehensive evaluation of the power quality of a data center, in the embodiment of the present application, a plurality of indicators related to the power quality evaluation of a data center are first determined.

[0035] Optionally, the indicators related to the power quality assessment of the data center in the embodiment of the present application include at least one of the following: voltage deviation, voltage fluctuation and flicker, public power grid harmonics, three-phase voltage allowable imbalance, frequency deviation, public power grid interharmonics, temporary overvoltage and transient overvoltage, and voltage sag and short interruption. Among them, temporary overvoltage and transient overvoltage, voltage sag and short interruption are event-type power quality phenomena, which are accidental, difficult to measure in actual projects, and have poor operability; public power grid interharmonics are optional indicators.

[0036] For example, in voltage deviation, the basic measurement time window for obtaining the voltage effective value should be 10 cycles, and the time length is recommended to be 1 minute or 10 minutes. Each measurement time window should be close to the adjacent measurement time window without overlapping. The average value of the voltage effective value is continuously measured and calculated, and finally the power supply voltage deviation value is calculated. The calculation formula is as follows:

[0037] The sum of the absolute values ​​of positive and negative deviations of the power supply voltage of 35kV and above shall not exceed 10% of the nominal voltage; The allowable deviation of three-phase power supply voltage of 20kV and below is ±7% of the nominal voltage; The allowable deviation of 220V single-phase power supply voltage is +7% to -10% of the nominal voltage.

[0038] Frequency deviation is the difference between actual frequency and rated frequency. Under normal power system operation conditions, the frequency deviation limit is ±0.2HZ. When the system capacity is small, the deviation limit can be relaxed to ±0.5HZ.

[0039] Three-phase imbalance: Voltage fluctuations cause voltage imbalance and three-phase current imbalance. Unbalanced three-phase and single-phase loads cause three-phase current imbalance. Short circuits between phases and short circuits between phases and neutral lines will cause three-phase voltage and current imbalance. The three-phase currents are different in amplitude or their phase difference is not 120°.

[0040] Voltage harmonics refer to the content of harmonic components in non-sinusoidal voltage or current in the power supply system.

[0041] Voltage flicker and fluctuations occur when the voltage fluctuates around its average value over a period of time.

[0042] Step 102: Determine the weight value of each indicator according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer, and the information entropy corresponding to each indicator.

[0043] Specifically, after determining the indicators related to the power quality assessment of the data center, that is, clarifying the evaluation items and evaluation standards of the power quality of the data center, in the embodiment of the present application, the weight value of each indicator is determined based on the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer and the information entropy corresponding to each indicator.

[0044] Optionally, each level of the power supply and distribution system of the data center will affect the power quality of each other, so the power quality of the data center should be considered comprehensively, and the power quality of a certain aspect cannot be considered alone. Therefore, in the process of evaluating the power quality of the data center, the application takes into account the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer, so that the evaluation result of the power quality of the data center is more accurate. For example, Figure 2 As shown, the power grid network layer corresponding to the data center includes the high voltage side, the low voltage side and the equipment side.

[0045] Optionally, the information entropy corresponding to each indicator describes the uncertainty and confusion of each event corresponding to each indicator, that is, in the process of determining the weight value of each indicator, the influence of the uncertainty of each indicator on the power quality of the data center is fully considered, so that the weight of each indicator and the evaluation result of the power quality of the data center are more accurate. Optionally, the smaller the information entropy of each indicator related to the power quality evaluation of the data center, the greater the variation of the indicator value, the more information provided, the greater the role played in the comprehensive evaluation, and the greater its weight. On the contrary, the larger the information entropy of the indicator, the smaller the variation of the indicator value, the less information provided, the smaller the role played in the comprehensive evaluation, and the smaller its weight. That is, the objective weight of each indicator related to the power quality evaluation of the data center is determined according to the size of the indicator variability.

[0046] For example, each level of the power supply and distribution system in a data center will affect the power quality between each other. The factors affecting the power quality depend not only on the power quality itself, but also on the quality of the power supply and distribution equipment itself. For example, the voltage reduction capacity of a transformer of the same model depends not only on the number of coil windings, but is also limited by the tightness between the coils, which affects the number of magnetic flux lines passing through the coils. In practice, when the same high voltage is reduced by two identical transformers, there will be a deviation of about 10V between their values. For another example, the HVAC system of a data center will generate a large number of harmonics, which will cause harmonic disorder in the data center. Peak power consumption will cause undervoltage operation of electrical equipment, and low power consumption will cause high voltage overlimit in some line segments. Therefore, in the process of evaluating the power quality of a data center, the present application takes into account the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer, so that the evaluation result of the power quality of the data center is more accurate.

[0047] Step 103: Determine the evaluation result of the power quality of the data center according to the various indicators and the weight values ​​of the various indicators.

[0048] Specifically, after accurately determining the weight value of each indicator according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer, and the information entropy corresponding to each indicator, the evaluation result of the power quality of the data center can be determined according to each indicator and the weight value of each indicator. Optionally, each indicator can be weighted and summed by the weight value of the indicator, and the final result can be used as the evaluation result of the power quality of the data center to achieve accurate evaluation of the power quality of the data center. Optionally, when the evaluation result of the power quality of the data center is less than the threshold, the various weak indicators of the power quality can be further analyzed and checked to improve the safety and reliability of the data center.

[0049] The method of the above embodiment, on the one hand, in the process of evaluating the power quality of the data center, takes into account that each level of the power supply and distribution system of the data center will affect the power quality of each other. Therefore, in the process of evaluating the power quality of the data center, the weight of each indicator is determined in combination with the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer, so that the evaluation result of the power quality of the data center is more accurate. On the other hand, in the process of determining the weight value of each indicator, the influence of the uncertainty of each indicator on the power quality of the data center is fully considered, so that the final determined weight is more accurate, and the accurate evaluation of the power quality of the data center is realized, and the safety and reliability of the data center are improved.

[0050] In one embodiment, the data center power quality assessment method further includes: According to the comparison result of the importance between the network layers of the power grid corresponding to the data center, the importance of each network layer of the power grid corresponding to the data center is determined; Determine the importance of each indicator based on the comparison results of the importance of each indicator.

[0051] Specifically, each level of the power supply and distribution system of the data center will affect the power quality between each other. Therefore, in the embodiment of the present application, the importance comparison results between the network layers of the power grid corresponding to the data center are first obtained, such as the importance comparison results between the high-voltage layer and the low-voltage layer, the importance comparison results between the high-voltage layer and the equipment layer, and the importance comparison results between the equipment layer and the low-voltage layer. That is, the importance comparison results between the two are first determined, and then the importance of each network layer of the power grid corresponding to the data center can be accurately determined by normalization and other methods, so as to accurately determine the importance of each network layer of the power grid corresponding to the data center based on the importance comparison results between the network layers of the power grid corresponding to the data center. The importance of each network layer of the power grid corresponding to the data center is determined. Optionally, the importance comparison results between the network layers of the power grid corresponding to the data center can be determined based on preset rules, or based on subjective scoring by staff, which is not specifically limited in the embodiment of the present application. Optionally, based on the above principle, the embodiment of the present application also determines the importance of each indicator corresponding to the data center based on the importance comparison results between the indicators corresponding to the data center, so as to achieve the accurate determination of the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator, so as to make the weights of each indicator finally determined more accurate, and achieve accurate evaluation of the power quality of the data center.

[0052] For example, the comparison results of the importance of various indicators corresponding to the data center are shown in Table 1; the comparison results of the importance of various network layers of the power grid are shown in Table 2.

[0053] Table 1

[0054] Table 2

[0055] Optionally, the importance of each network layer of the power grid corresponding to the data center, or the importance of each indicator, may be determined based on the following method.

[0056] (1) Add up all the normalized elements in each column, find the sum of the column (sum), and then multiply each element by 1 / sum; add up the elements of the normalized matrix and row vector (sum2), and then multiply by 1 / 5 (because there are 5 columns) to get the importance value.

[0057] (2) Method 2 is essentially the same as Method 1, that is, (the sum of all elements in each row vector) divided by (the sum of all elements in the matrix).

[0058] The method of the above embodiment accurately determines the importance of each network layer of the power grid corresponding to the data center based on the comparison result of the importance between each network layer of the power grid corresponding to the data center; determines the importance of each indicator corresponding to the data center based on the comparison result of the importance between each indicator corresponding to the data center, thereby achieving accurate determination of the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator, thereby making the final determined weight more accurate, thereby achieving accurate evaluation of the power quality of the data center.

[0059] In one embodiment, the weight value of each indicator is determined according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer, and the information entropy corresponding to each indicator, including: Determine a first weight value corresponding to each indicator according to the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer; Determine the second weight value corresponding to each indicator according to the information entropy corresponding to each indicator; The weight value of each indicator is determined according to the first weight value corresponding to each indicator and the second weight value corresponding to each indicator.

[0060] Specifically, the embodiment of the present application determines the importance of each network layer of the power grid corresponding to the data center based on the comparison result of the importance between each network layer of the power grid corresponding to the data center; after determining the importance of each indicator corresponding to the data center based on the comparison result of the importance between each indicator corresponding to the data center, it can also determine the first weight value corresponding to each indicator according to the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer; that is, in the process of determining the first weight value, not only the importance of each network layer of the power grid corresponding to the data center is taken into account, but also the importance of each indicator in each network layer, so that the finally determined first weight value is more accurate and reasonable.

[0061] Optionally, the present application also determines the second weight value corresponding to each indicator according to the information entropy corresponding to each indicator; optionally, the smaller the information entropy of each indicator related to the power quality assessment of the data center, the greater the degree of variation of the indicator value, the more information provided, the greater the role played in the comprehensive evaluation, and the greater its weight. On the contrary, the larger the information entropy of the indicator, the smaller the degree of variation of the indicator value, the less information provided, the smaller the role played in the comprehensive evaluation, and the smaller its weight. That is, the objective weight of each indicator related to the power quality assessment of the data center is determined according to the size of the indicator variability.

[0062] Finally, the weight values ​​of each indicator are determined according to the first weight values ​​corresponding to each indicator and the second weight values ​​corresponding to each indicator, so that the weight values ​​finally determined not only take into account the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer, but also take into account the influence of the uncertainty of each indicator on the power quality of the data center, so that the weights of each indicator finally determined are more accurate, and the accurate evaluation of the power quality of the data center is achieved, and the safety and reliability of the data center are improved. Optionally, the first weight value and the second weight value can be weighted and summed to determine the weight values ​​of each indicator.

[0063] The method of the above embodiment, in the process of determining the weight value of each indicator, not only takes into account the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer, but also takes into account the impact of the uncertainty of each indicator on the power quality of the data center, thereby making the weight of each indicator ultimately determined more accurate, achieving accurate assessment of the power quality of the data center, and improving the safety and reliability of the data center.

[0064] In one embodiment, according to the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer, the first weight value corresponding to each indicator is determined, including: The first weight value corresponding to each indicator is determined based on the following method: =

[0065] in, represents the first weight value corresponding to indicator i; B represents the matrix of the importance of each indicator; C represents the transpose of the matrix of the importance of each indicator; A represents the matrix of the importance of each network layer of the power grid corresponding to the data center; , , Indicates the preset value.

[0066] In one embodiment, determining the second weight value corresponding to each indicator according to the information entropy corresponding to each indicator includes: The second weight value corresponding to each indicator is determined based on the following method:

[0067] in, represents the second weight value corresponding to the index i; Represents the information entropy corresponding to index i.

[0068] Optionally, the information entropy corresponding to each indicator is determined based on the following method:

[0069] in, represents the information entropy corresponding to index i; m represents the number of samples; Indicates the degree of deviation of indicator i in multiple samples.

[0070] Specifically, for m groups of samples of n indicators corresponding to the data center, the m groups of samples may be indicators collected in different time periods. Therefore, an m*n sample matrix can be constructed.

[0071]

[0072] Then proceed as follows, where Indicates all The minimum indicator among the time units;

[0073] Then, the information entropy of each indicator and the second weight value corresponding to each indicator can be obtained based on the following method:

[0074] in, represents the second weight value corresponding to the index i; represents the information entropy corresponding to index i; m represents the number of samples; Indicates the degree of deviation of indicator i in multiple samples. Optionally, the smaller the information entropy of each indicator related to the power quality assessment of the data center, the greater the degree of variation of the indicator value, the more information provided, the greater the role played in the comprehensive evaluation, and the greater its weight. On the contrary, the larger the information entropy of the indicator, the smaller the degree of variation of the indicator value, the less information provided, the smaller the role played in the comprehensive evaluation, and the smaller its weight. That is, the objective weight of each indicator related to the power quality assessment of the data center is determined according to the size of the indicator variability.

[0075] The method of the above embodiment accurately determines the second weight value corresponding to each indicator according to the information entropy corresponding to each indicator. Therefore, in the process of determining the weight value of each indicator, the influence of the uncertainty of each indicator on the power quality of the data center is fully considered, so that the weights of each indicator finally determined are more accurate, and an accurate assessment of the power quality of the data center is achieved, thereby improving the safety and reliability of the data center.

[0076] In one embodiment, determining the weight value of each indicator according to the first weight value corresponding to each indicator and the second weight value corresponding to each indicator includes: The weight of each indicator is determined based on the following method: = +

[0077] in, Represents the weight value of indicator i; Indicates the first weight value corresponding to indicator i; represents the second weight value corresponding to the index i; Indicates the preset value.

[0078] Specifically, in the embodiment of the present application, the first weight value of each indicator determined according to the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer and the second weight value determined according to the information entropy corresponding to each indicator are weighted to obtain the weight value of each indicator:

[0079] in, Represents the weight value of indicator i; Indicates the first weight value corresponding to indicator i; represents the second weight value corresponding to the index i; Indicates a preset value; =0.2.

[0080] The method of the above embodiment performs weighted processing on the first weight value of each indicator determined according to the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer, and the second weight value determined according to the information entropy corresponding to each indicator, to obtain the weight value of each indicator, thereby making the weight of each indicator finally determined more accurate, realizing accurate assessment of the power quality of the data center, and improving the safety and reliability of the data center.

[0081] The following is a description of the data center power quality assessment device provided by the present invention. The data center power quality assessment device described below and the data center power quality assessment method described above can be referred to in correspondence with each other. Figure 3 As shown, including: A first determination module 310 is used to determine multiple indicators related to the power quality assessment of the data center; The second determination module 320 is used to determine the weight value of each indicator according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer and the information entropy corresponding to each indicator; The evaluation module 330 is used to determine the evaluation result of the power quality of the data center according to various indicators and weight values ​​of various indicators.

[0082] Optionally, the second determining module 320 is further configured to: According to the comparison result of the importance between the network layers of the power grid corresponding to the data center, the importance of each network layer of the power grid corresponding to the data center is determined; Determine the importance of each indicator based on the comparison results of the importance of each indicator.

[0083] Optionally, the second determining module 320 is specifically configured to: Determine a first weight value corresponding to each indicator according to the importance of each network layer of the power grid corresponding to the data center and the importance of each indicator in each network layer; Determine the second weight value corresponding to each indicator according to the information entropy corresponding to each indicator; The weight value of each indicator is determined according to the first weight value corresponding to each indicator and the second weight value corresponding to each indicator.

[0084] Optionally, the second determining module 320 is specifically configured to: The first weight value corresponding to each indicator is determined based on the following method: =

[0085] in, represents the first weight value corresponding to indicator i; B represents the matrix of the importance of each indicator; C represents the transpose of the matrix of the importance of each indicator; A represents the matrix of the importance of each network layer of the power grid corresponding to the data center.

[0086] Optionally, the second determining module 320 is specifically configured to: The second weight value corresponding to each indicator is determined based on the following method:

[0087] in, represents the second weight value corresponding to the index i; Represents the information entropy corresponding to index i.

[0088] Optionally, the second determining module 320 is specifically configured to: The information entropy corresponding to each indicator is determined based on the following method:

[0089] in, represents the information entropy corresponding to index i; m represents the number of samples; Indicates the degree of deviation of indicator i in multiple samples.

[0090] Optionally, the second determining module 320 is specifically configured to: The weight of each indicator is determined based on the following method: = +

[0091] in, Represents the weight value of indicator i; Indicates the first weight value corresponding to indicator i; represents the second weight value corresponding to the index i; Indicates the preset value.

[0092] Figure 4 An example of a physical structure diagram of an electronic device is provided, and the electronic device may include: a processor 410, a communication interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute a data center power quality assessment method, and the method includes: determining multiple indicators related to the data center power quality assessment; determining the weight value of each indicator according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer, and the information entropy corresponding to each indicator; and determining the evaluation result of the data center power quality according to each indicator and the weight value of each indicator.

[0093] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0094] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the data center power quality assessment method provided by the above-mentioned methods, and the method includes: determining multiple indicators related to the data center power quality assessment; determining the weight value of each indicator according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer, and the information entropy corresponding to each indicator; determining the assessment result of the data center power quality according to each indicator and the weight value of each indicator.

[0095] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the data center power quality assessment method provided by the above-mentioned methods, the method comprising: determining multiple indicators related to the data center power quality assessment; determining the weight value of each indicator according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer and the information entropy corresponding to each indicator; determining the assessment result of the data center power quality according to each indicator and its weight value.

[0096] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0097] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0098] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data center power quality assessment method, characterized in that: include: Identify multiple indicators related to power quality assessment in data centers; Determine the weight value of each of the indicators according to the importance of each network layer of the power grid corresponding to the data center, the importance of each of the indicators in each network layer, and the information entropy corresponding to each of the indicators; The evaluation result of the power quality of the data center is determined based on the various indicators and the weight values ​​of the various indicators.

2. The data center power quality assessment method according to claim 1, characterized in that: The method further comprises: According to the comparison result of the importance between the network layers of the power grid corresponding to the data center, the importance of each network layer of the power grid corresponding to the data center is determined; The importance of each indicator is determined based on the comparison result of the importance between the indicators.

3. The data center power quality assessment method according to claim 1, characterized in that: Determining the weight value of each indicator according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer and the information entropy corresponding to each indicator includes: Determine a first weight value corresponding to each of the indicators according to the importance of each network layer of the power grid corresponding to the data center and the importance of each of the indicators in each network layer; Determine a second weight value corresponding to each of the indicators according to the information entropy corresponding to each of the indicators; The weight value of each indicator is determined according to the first weight value corresponding to each indicator and the second weight value corresponding to each indicator.

4. The data center power quality assessment method according to claim 3, characterized in that: Determining the first weight value corresponding to each of the indicators according to the importance of each network layer of the power grid corresponding to the data center and the importance of each of the indicators in each network layer includes: The first weight value corresponding to each of the indicators is determined based on the following method: = in, represents the first weight value corresponding to the indicator i; B represents the matrix of the importance of each of the indicators; C represents the transpose of the matrix of the importance of each of the indicators; A represents the matrix of the importance of each network layer of the power grid corresponding to the data center; , , Indicates the preset value.

5. The data center power quality assessment method according to claim 3, characterized in that: Determining the second weight value corresponding to each of the indicators according to the information entropy corresponding to each of the indicators includes: The second weight value corresponding to each of the indicators is determined based on the following method: in, represents the second weight value corresponding to the index i; Represents the information entropy corresponding to index i.

6. The data center power quality assessment method according to claim 5, characterized in that: The method further comprises: The information entropy corresponding to each of the indicators is determined based on the following method: in, represents the information entropy corresponding to index i; m represents the number of samples; Indicates the degree of deviation of indicator i in multiple samples.

7. The data center power quality assessment method according to any one of claims 3 to 6, characterized in that: Determining the weight value of each of the indicators according to the first weight value corresponding to each of the indicators and the second weight value corresponding to each of the indicators includes: The weight values ​​of each of the indicators are determined based on the following method: = + in, Represents the weight value of indicator i; Indicates the first weight value corresponding to indicator i; represents the second weight value corresponding to the index i; Indicates the preset value.

8. A data center power quality assessment device, characterized in that: include: A first determination module is used to determine multiple indicators related to the power quality assessment of the data center; The second determination module is used to determine the weight value of each indicator according to the importance of each network layer of the power grid corresponding to the data center, the importance of each indicator in each network layer and the information entropy corresponding to each indicator; The evaluation module is used to determine the evaluation result of the power quality of the data center according to each of the indicators and the weight value of each of the indicators.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the data center power quality assessment method as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the data center power quality assessment method according to any one of claims 1 to 7 is implemented.

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